Benchmark: includes as substring

Tests:

substring
'someRouteName'.includes('viaCheckIn')
list
['viaCheckInBasicInfoForm', 'viaCheckInBasicInfoSelect', 'viaCheckInSuccess', 'viaCheckInPassword', 'viaCheckInEmail', 'viaCheckInIntro'].includes('someRouteName')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
substring
list

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36

Browser/OS: Chrome 85 on Mac OS X 10.14.6

View result in a separate tab

Test name	Executions per second
substring	54959336.0 Ops/sec
list	903792384.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The benchmark definition is the core part of the test, which determines what is being measured. In this case, there are two benchmark definitions:

1. `someRouteName`.includes('viaCheckIn')`: This tests if the `includes` method returns true for a specific substring.
2. `['viaCheckInBasicInfoForm', 'viaCheckInBasicInfoSelect', 'viaCheckInSuccess', 'viaCheckInPassword', 'viaCheckInEmail', 'viaCheckInIntro'].includes('someRouteName')`: This tests if the `includes` method returns true for a specific value in an array.

**Options Compared**

The options being compared are the different ways to use the `includes` method. The two main approaches are:

1. **Substring Search**: Using the `.includes()` method with a substring, as in the first benchmark definition.
	* Pros: Simple and efficient way to check if a string contains a specific substring.
	* Cons: May not be suitable for large strings or complex searches, as it uses a linear search algorithm.
2. **Array Search**: Using the `.includes()` method on an array, as in the second benchmark definition.
	* Pros: Can be faster than substring search for large arrays and complex searches, since it uses a more efficient data structure and algorithm.
	* Cons: Requires an additional step to create or access the array.

**Other Considerations**

When choosing between these two approaches, consider the following:

* **String complexity**: If you're searching for a specific substring within a long string, substring search might be sufficient. However, if you need to perform more complex searches, like finding a value in an array, array search is likely a better choice.
* **Performance**: For large strings or arrays, array search can provide better performance due to its use of optimized algorithms and data structures.

**Library**

There is no explicit library mentioned in the benchmark definition. However, it's worth noting that JavaScript has several libraries and APIs that implement the `includes` method, such as the String API.

**Special JS Feature or Syntax**

None are explicitly mentioned in this benchmark.

**Other Alternatives**

If you need to optimize performance-critical code or perform complex string searches, consider exploring alternative approaches:

* **Regular expressions**: For more complex pattern matching and searching.
* **Native JavaScript methods**: Such as `String.prototype.indexOf()` or `Array.prototype.includes()`, which might offer better performance for certain use cases.

For this specific benchmark, the choice between substring search and array search depends on your specific requirements. If you're looking for a simple, efficient way to check if a string contains a specific substring, substring search is likely sufficient. However, if you need to perform more complex searches or work with large arrays, array search might be a better option.

Related benchmarks:

includes as substring (version: 0)

Comparing performance of: substring vs list

Created: 4 years ago by: Guest

Jump to the latest result

substring

list

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):